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Impact of the Internet of Things and Clinical Decision Support System in Healthcare

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IoT and WSN based Smart Cities: A Machine Learning Perspective

Abstract

Health is the basic need of human beings, and it is every person’s need to get good and appropriate healthcare. India is going through numerous medical problems these days, which are due to the low availability of resources. Technologies like image processing, the Internet of Things, artificial intelligence and data mining make it easy for healthcare professionals to make diagnostic decisions. This chapter presents the idea of solving healthcare problems by utilizing the most recent innovation, the Internet of Things (IoT) and the clinical decision support system (CDSS). An IoT-based solution with CDSS is proposed which can be used by doctors and caretakers of the patient for monitoring the physiological parameters of the patient especially when the patient is far away (remote location). For accessing patient-related information, a five-parameter vital sign monitor is used that transmits the vital signs in real time to the cloud. From the literature review, we have found that CDSS is playing a vital role in decision-making. Therefore, an IoT-based solution with a CDSS facility is discussed in this paper. For this study, a dataset provided by Royal Adelaide Hospital is used.

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Correspondence to Rajesh Kumar Kaushal .

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Kumar, N., Kaushal, R.K., Panda, S.N., Bhardwaj, S. (2022). Impact of the Internet of Things and Clinical Decision Support System in Healthcare. In: Rani, S., Sai, V., Maheswar, R. (eds) IoT and WSN based Smart Cities: A Machine Learning Perspective. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-84182-9_2

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  • DOI: https://doi.org/10.1007/978-3-030-84182-9_2

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